Chat Model Pricing in Together & DeepInfra

Chat Model Pricing Across Providers

This horizontal bar chart compares the cost per million output tokens for chat models across Together AI, DeepInfra, OpenAI, and Anthropic. The visualization uses D3’s `scaleBand` for the categorical y-axis and a linear `scaleLinear` x-axis, with bars colored by provider via `scaleOrdinal`. Model prices come from a CSV dataset, listing endpoints from Together AI and DeepInfra, while axis labels and a color legend clarify the mapping.

92% match

Chat Model Pricing in Together.ai

This visualization displays the cost per million tokens for various chat models offered by Together.ai, using data scraped from their serverless endpoints pricing page. Prices are sorted in ascending order across a horizontal bar chart, with the most expensive models at the top. The code uses D3's `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs to render the chart, filtering the raw CSV data to include only chat models with numeric pricing. Each bar's width reflects the parsed price value, and axis labels are formatted as currency.

91% match

Large Language Model API Pricing (October 2024)

This horizontal bar chart compares the cost per million output tokens for chat models from four API providers: Together AI, DeepInfra, OpenAI, and Anthropic, with bars colored by provider and labeled with their exact price. The visualization uses D3.js, employing a symlog scale for the x-axis to handle the wide range of prices, and custom tick selection logic to place readable axis labels. Data is sourced from a Google Sheet and filtered to chat-type models, with bars sorted by ascending price.

81% match

Aider Models in OpenRouter

This scatter plot compares usage and cost of AI models listed on OpenRouter as of July 2025, with tokens on the x-axis and price per million tokens on the y-axis. Data is loaded from a CSV and visualized using D3 v7 with `d3.forceSimulation` to position labels, preventing overlap, and `d3.axisBottom`/`axisLeft` for axes. The chart highlights that Claude Sonnet 4 and Gemini 2.5 Pro lead in usage, DeepSeek V3 0324 offers low cost with substantial use, while Claude Opus appears too expensive for widespread adoption.

OpenRouter LLM API Pricing Updated

One hundred forty-four LLM bars charted by cost-per-token, colored by provider with a Tableau10 legend, and sorted ascending. Prices come from openrouter.ai/docs/models, with free, beta, dated, and extended versions filtered out. The chart uses D3's `scaleBand`, `scaleLinear`, and a custom `selectTicks` algorithm for axis gap-filling, while `data.json` supplies structured model metadata.

AI Platform Dashboard analysis

An interactive bar chart compares total visits for AI platforms across chatbots and search engines for 2024-2025. Users can filter by platform type, sort by total visits or year-over-year change, and toggle to show previous year indicators. Built with React and D3 v7 (including `scaleBand`, `scaleLinear`, and `scaleOrdinal`), it renders as animated SVG bars with hover tooltips and legend-based filtering, with data loaded from a CSV file.

NNita

OpenRouter LLM API Pricing

This visualization compares LLM API pricing from OpenRouter, showing the completion cost per million tokens for various models as horizontal bars. Each bar is colored by the model's author, with well-known organizations like OpenAI, Anthropic, and Google distinguished from others. The chart filters out free, beta, and dated models to focus on current paid offerings. The visualization uses D3.js with a linear scale for the x-axis and band scale for model names. A custom `selectTicks` algorithm intelligently places axis tick marks to avoid overcrowding. Model authors are mapped to a Tableau10 color scale, with a color legend showing the mapping. The data comes from OpenRouter's model documentation.